[Mar 26, 2024] 100% Latest Most updated PEGACPDC88V1 Questions and Answers
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The Certified Pega Decisioning Consultant 8.8 V1 (PEGACPDC88V1) Exam is a professional certification exam conducted by Pegasystems, a software company that provides customer engagement and operational excellence solutions globally. Certified Pega Decisioning Consultant 8.8 V1 certification exam is designed for professionals who want to validate their expertise in Pega Decision Management technology and improve their insight and understanding of the Pega Decisioning process.
NEW QUESTION # 18
U+ Bank, a retail bank, has purchased Pega Customer Decision Hub. The bank currently uses an external tool to design email content and a third-party email service provider to send emails to its customers.
As a decisioning architect, how do you recommend the bank implements this requirement?
- A. Create an internal email treatment and use Customer Decision Hub to design the email.
- B. Create an external email treatment and use an external tool to design the email.
- C. Create an internal email treatment and import the email content HTML.
- D. Create an external email treatment and use Customer Decision Hub to design the email.
Answer: B
Explanation:
To implement this requirement, you need to select the Refresh the audience checkbox in the outbound run configuration. This option allows you to refresh the audience data before each run by executing a data flow that reads from your customer data source and updates your customer data set. This way, you can ensure that the outbound run always uses the latest customer information available in your system. Verified Reference: Pega Academy - Decisioning Consultant - Configuring outbound runs
NEW QUESTION # 19
The U+ Bank marketing department wants to leverage the next-best-action capability of Pega Customer Decision Hub™ on its website to promote new offers to each customer.
Answer:
Explanation:
1 - The website invokes the real-time container before loading the account page.
2 - Customer Decision Hub evaluates offers form the associated issue/group.
3 - Customer Decision Hub returns the resulting offer details to the website.
4 - The website loads the account page with the content returned by Customer Decision Hub.
NEW QUESTION # 20
U+ Bank, a retail bank, is cross-selling on the web by showing various credit card offers to its customers.
The bank wants to introduce a new offer in the Business Operations Environment. Place the steps in the correct order of implementation.
Answer:
Explanation:
1 - Create a change request
2 - Rank the change request
3 - Define action details and engagement policies
4 - Perform persona testing
5 - Approve the change request
6 - Complete and deploy the revision
NEW QUESTION # 21
U+ Bank presents various credit card offers to its customers on its website. The bank uses AI to prioritize the offers according to customer behavior. With the introduction of the Gold credit card offer, the offer click-through propensity decreased to 0.42.
What does the decrease in the propensity value most likely indicate?
- A. Similar customers ignore the offer.
- B. Similar customers show interest in the offer.
- C. Similar customers do not qualify for the offer.
- D. Similar customers purchase other offers.
Answer: A
Explanation:
The propensity is a measure of how likely a customer is to accept an offer, based on their attributes and behaviors. The propensity is calculated by using predictive analytics models that learn from historical data and feedback. A low propensity value indicates that the offer is not relevant or attractive for the customer, and that similar customers have ignored or rejected the offer in the past. Therefore, if the offer click-through propensity decreased to 0.42, it most likely indicates that similar customers ignore the offer. Verified Reference: Pega Decisioning Consultant | Pega Academy
NEW QUESTION # 22
Pega Customer Decision Hub enables organizations to make Next-Best decisions. To which type of a decision is Next-Best-Action applied?
- A. Optimizing supply chain management
- B. Determining if a borrower gets a loan
- C. Predicting the time of a machine failure
- D. Determining how to optimize inventories
Answer: B
Explanation:
Next-Best-Action is a type of decision that involves selecting and prioritizing the most appropriate proposition for each customer at any given moment. Next-Best-Action can be applied to decisions that require customer-centricity, personalization, and contextualization. Determining if a borrower gets a loan is an example of such a decision, as it depends on the customer's attributes, behaviors, preferences, and needs. The other options are examples of decisions that are not related to customer interactions, but rather to operational or analytical processes. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
NEW QUESTION # 23
U+ Bank's marketing department currently promotes various home loan offers to qualified customers. Now, the bank does not want to show offers on a customer's account page if the customer has already received three home loan offers in the last two weeks.
What do you need to define to implement the business requirement?
- A. Applicability rules
- B. Customer contact limits
- C. Volume constraints
- D. Suppression policy
Answer: D
Explanation:
A suppression policy allows you to define conditions that prevent customers from receiving an action or a group of actions. You can use a suppression policy to implement the requirement that customers do not see home loan offers on their account page if they have already received three home loan offers in the last two weeks. You can configure the suppression policy to suppress the home loan group based on the number of times the customer received any action from that group in the past 14 days. Applicability rules are used to determine whether an action is relevant for a customer based on their profile or context, not based on the number of times they received an action. Customer contact limits are used to limit the number of times a customer can be contacted per channel per time period, not based on the number of times they received an action. Volume constraints are used to limit the number of times an action is presented to customers across one or more channels, not based on the number of times they received an action. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Suppression policies
NEW QUESTION # 24
U+ Bank, a retail bank, uses the Business Operations Environment to perform business changes. The team members of the Business Content team and Enterprise Capabilities team perform several roles in the change management process.
Select each role on the left and drag it to the task descriptions to which the role corresponds on the right.
Answer:
Explanation:
NEW QUESTION # 25
MyCo, a mobile company, uses Pega Customer Decision Hub™ to display offers to customers on its website. The company wants to present more relevant offers to customers based on customer behavior. The following diagram is the action hierarchy in the Next-Best-Action Designer.
The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
As a decisioning architect, what must you do to present offers from the two groups?
- A. Enable an engagement policy for the second group.
- B. Set contact limits for both the groups.
- C. Map a real-time container to the Top-level or Issue-level.
- D. Create a decision strategy at the Issue-level
Answer: C
Explanation:
To present offers from the two groups, you must map a real-time container to the Top-level or Issue-level. A real-time container is a configuration that defines how to deliver offers and treatments to a specific channel, such as a website or a mobile app. By mapping a real-time container to the Top-level or Issue-level, you can enable all the offers under that level to be available for delivery through that channel. Verified Reference: Pega Academy - Decisioning Consultant - Configuring real-time containers
NEW QUESTION # 26
Bank uses Pega Customer Decision Hub™ to approve credit card limit changes requested by customers automatically.
A scorecard model determines the customer credit score.
The automatic approval of credit card limits are processed based on the following criteria set by the bank.
The bank wants to change the threshold value for the USD2000 credit limit from <175 to <200. How do you implement this change?
- A. Change the cutoff value in the Results tab of the scorecard decision component.
- B. Change in the strategy the condition from .pxSegment <=175 to .pxSegment <=200.
- C. Change the cutoff value in the Results tab of the scorecard model.
- D. Map the score value in the decision strategy to <=200.
Answer: C
Explanation:
The scorecard model determines the customer credit score based on various factors, such as income, expenses, assets, liabilities, etc. The scorecard model has a Results tab where you can define the cutoff values for different segments based on the credit score. To change the threshold value for the USD2000 credit limit from <175 to <200, you need to change the cutoff value in the Results tab of the scorecard model. Changing the cutoff value in the scorecard decision component, changing the condition in the strategy, or mapping the score value in the decision strategy will not affect the credit score calculation or segmentation.
NEW QUESTION # 27
U+ Bank implemented a customer journey for its customers. The journey consists of five stages. The bank observes that as customers progress through the journey, one customer entered the third stage of the journey, and then received an offer that is not included in any journey.
Which statement explains the cause of this behavior?
- A. The customer always receives the most relevant action, even if an action is not a part of any journey.
- B. The customer was not eligible for the last stage of the journey and the system presented an offer outside the journey.
- C. The bank implemented upweighting for the third stage.
- D. The customer can be involved in only one active journey at a given moment.
Answer: A
Explanation:
Pega Customer Decision Hub always selects and prioritizes the most relevant and valuable action for each customer at any given moment, regardless of whether the action is part of a journey or not. A journey is a way to group and organize actions that are related to a common business objective or customer need, but it does not override the Next-Best-Action strategy that determines the best action for each customer. Therefore, if a customer receives an offer that is not included in any journey, it means that the offer is more suitable and beneficial for the customer than any other offer in the journey. Verified Reference: Pega Decisioning Consultant | Pega Academy
NEW QUESTION # 28
MyCo, a mobile company, uses Pega Customer Decision Hub™ to display offers to customers on its website. The company wants to present more relevant offers to customers based on customer behavior. The following diagram is the action hierarchy in the Next-Best-Action Designer.
The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
As a decisioning architect, what do you configure to select the best offer from both groups based on customer behavior?
- A. Create an adaptive model rule at the Issue-level.
- B. Create a prioritization decision strategy at the Group-level.
- C. Ensure that the propensity is enabled in Arbitration tab.
- D. Enable a business value in the prioritization formula.
Answer: C
Explanation:
To select the best offer from both groups based on customer behavior, you need to ensure that the propensity is enabled in Arbitration tab. Propensity is a measure of how likely a customer is to accept an offer, based on their past behavior and profile. By enabling propensity in Arbitration tab, you can compare the propensities of different offers across groups and select the one with the highest propensity as the next best action. Verified Reference: Pega Academy - Decisioning Consultant - Arbitrating actions
NEW QUESTION # 29
U+ Bank, a retail bank, has purchased Pega Customer Decision Hub. The bank currently uses an external tool to design email content and a third-party email service provider to send emails to its customers.
As a decisioning architect, how do you recommend the bank implements this requirement?
- A. Create an internal email treatment and use Customer Decision Hub to design the email.
- B. Create an external email treatment and use an external tool to design the email.
- C. Create an internal email treatment and import the email content HTML.
- D. Create an external email treatment and use Customer Decision Hub to design the email.
Answer: B
Explanation:
To implement this requirement, you need to create an external email treatment and use an external tool to design the email. An external email treatment is a type of treatment that allows you to use a third-party email service provider to send emails to your customers. You can configure the external email treatment with the name of the provider, the authentication details, and the template ID that corresponds to the email content that you design using an external tool. This way, you can leverage your existing tools and processes for sending emails, while still using Customer Decision Hub to select the best actions and treatments for your customers. Verified Reference: Pega Academy - Decisioning Consultant - Creating external treatments
NEW QUESTION # 30
U+ Bank's marketing department wants to use the always-on outbound approach to send promotional emails about credit card offers to qualified customers. As a part of this promotion, the bank wants to identify the starting population by defining a few high-level criteria in a segment.
For each condition below, select which two conditions should be defined in Segment and which three conditions should be defined in Engagement policy as best practice.
Answer:
Explanation:
NEW QUESTION # 31
U+ Bank implemented a customer journey for its customers. The journey consists of three stages. The first stage raises awareness about available products, the second stage presents available offers, and in the last stage, customers can talk to an advisor to get a personalized quote. The bank wants to actively increase offers promotion over time.
What action does the bank need to take to achieve this business requirement?
- A. Enable increasing stage upweighting for the second stage of the journey.
- B. Enable increasing stage upweighting for the first stage of the journey.
- C. Enable constant stage upweighting for the second stage of the journey.
- D. Upweight the propensity by adding more predictors that fit the target customers and repeat this process over time.
Answer: A
Explanation:
Increasing stage upweighting is a feature that allows you to gradually increase the weight of a stage over time, making the offers in that stage more likely to be selected. This is useful for promoting offers that are time-sensitive or have a limited availability. In this case, the bank wants to actively increase offers promotion over time, so enabling increasing stage upweighting for the second stage of the journey, where the offers are presented, is the best option. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
NEW QUESTION # 32
U+ Bank, a retail bank, uses the Business Operations Environment to perform its business changes. The bank carries out these changes in the Pega Customer Decision Hub portal by using revision management features or the 1:1 Operations Manager portal.
For each task, select the correct portal in which you initiate the change request based on best practices.
Answer:
Explanation:
NEW QUESTION # 33
What is the name of the property that the system computes automatically when you use an Adaptive Model decision component?
- A. Order
- B. Rank
- C. Priority
- D. Propensity
Answer: D
Explanation:
Propensity is the name of the property that the system computes automatically when you use an Adaptive Model decision component. Propensity is a measure of how likely a customer is to accept an action, based on their past behavior and profile. An Adaptive Model component uses machine learning to calculate the propensity for each action and store it in a property with the same name as the action. Verified Reference: Pega Academy - Decisioning Consultant - Using adaptive models
NEW QUESTION # 34
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Pegasystems PEGACPDC88V1 (Certified Pega Decisioning Consultant 8.8 V1) Exam is a certification exam designed for professionals who want to demonstrate their expertise in Pega Decisioning. Pega Decisioning is a powerful tool that allows businesses to make data-driven decisions and automate complex business processes. PEGACPDC88V1 exam is aimed at individuals who work with Pega Decisioning and want to demonstrate their proficiency in the tool.
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